Cortical current density oscillations in the motor cortex are correlated with muscular activity during pedaling exercise

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Bibliographic Details
Title translated into German:Kortikale Stromdichteschwingungen im motorischen Kortex korrelieren mit Muskelaktivität während eines Pedalier-Trainings
Author:Schneider, S.; Rouffet, D.M.; Billaut, F.; Strüder, Heiko Klaus
Published in:Neuroscience
Published:228 (2013), S. 309–314, Lit.
Format: Publications (Database SPOLIT)
Publication Type: Journal article
Media type: Electronic resource (online) Print resource
Language:English
ISSN:0306-4522
Keywords:
Online Access:
Identification number:PU201407006528
Source:BISp

Abstract

Despite modern imaging techniques, assessing and localizing changes in brain activity during whole-body exercise is still challenging. Using an active electroencephalography (EEG) system in combination with source localization algorithms, this study aimed to localize brain cortical oscillations patterns in the motor cortex and to correlate these with surface electromyography (EMG)-detected muscular activity during pedaling exercise. Eight subjects performed 2-min isokinetic (90 rpm) cycling bouts at intensities ranging from 1 to 5 W kg−1 body mass on a cycle ergometer. These bouts were interspersed by a minimum of 2 min of passive rest to limit to development of peripheral muscle fatigue. Brain cortical activity within the motor cortex was analyzed using a 32-channel active EEG system combined with source localization algorithms. EMG activity was recorded from seven muscles on each lower limb. EEG and EMG activity revealed comparatively stable oscillations across the different exercise intensities. More importantly, the oscillations in cortical activity within the motor cortex were significantly correlated with EMG activity during the high-intensity cycling bouts. This study demonstrates that it is possible to localize oscillations in brain cortical activity during moderate- to high-intensity cycling exercise using EEG in combination with source localization algorithms, and that these oscillations match the activity of the active muscles in time and amplitude. Results of this study might help to further evaluate the effects of central vs. peripheral fatigue during exercise. Verf.-Referat